Three Syntactic Theories for Combinatory Graph Reduction

Three syntactic theories for combinatory graph reduction

ACM Transactions on Computational Logic ◽

10.1145/2528932 ◽

2013 ◽

Vol 14 (4) ◽

pp. 1-27

Author(s):

Olivier Danvy ◽

Ian Zerny

Keyword(s):

Graph Reduction ◽

Syntactic Theories

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An abstract machine for parallel graph reduction

Proceedings of the fourth international conference on Functional programming languages and computer architecture - FPCA '89 ◽

10.1145/99370.99387 ◽

1989 ◽

Cited By ~ 7

Author(s):

Lal George

Keyword(s):

Graph Reduction ◽

Abstract Machine ◽

Parallel Graph

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Syntactic Theories in Practice

Electronic Notes in Theoretical Computer Science ◽

10.1016/s1571-0661(04)00297-x ◽

2001 ◽

Vol 59 (4) ◽

pp. 358-374 ◽

Cited By ~ 3

Author(s):

Olivier Danvy ◽

Lasse R. Nielsen

Keyword(s):

Syntactic Theories

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A generalized graph reduction framework for interactive segmentation of large images

Computer Vision and Image Understanding ◽

10.1016/j.cviu.2016.05.009 ◽

2016 ◽

Vol 150 ◽

pp. 44-57 ◽

Cited By ~ 4

Author(s):

Houssem-Eddine Gueziri ◽

Michael J. McGuffin ◽

Catherine Laporte

Keyword(s):

Graph Reduction ◽

Interactive Segmentation

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Critical controllability analysis of directed biological networks using efficient graph reduction

Scientific Reports ◽

10.1038/s41598-017-14334-8 ◽

2017 ◽

Vol 7 (1) ◽

Cited By ~ 4

Author(s):

Masayuki Ishitsuka ◽

Tatsuya Akutsu ◽

Jose C. Nacher

Keyword(s):

Biological Networks ◽

Graph Reduction

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Concise Encyclopedia of Syntactic Theories

Language ◽

10.2307/417461 ◽

2000 ◽

Vol 76 (1) ◽

pp. 231

Author(s):

Michael A. Covington ◽

Keith Brown ◽

Jim Miller ◽

Peter V. Lamarque

Keyword(s):

Syntactic Theories

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Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction

Communications in Computer and Information Science - Neural Information Processing ◽

10.1007/978-3-030-63823-8_34 ◽

2020 ◽

pp. 291-299

Author(s):

Li Zhang ◽

Qingqing Pang ◽

Zhiqiang Xu ◽

Xiaohan Zheng

Keyword(s):

Data Reduction ◽

Noisy Data ◽

Data Classification ◽

Graph Reduction

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Tunnekausatiivilauseen argumenttirakenne I

Virittäjä ◽

10.23982/vir.63416 ◽

2019 ◽

Vol 123 (3) ◽

Author(s):

Saara Huhmarniemi

Keyword(s):

Word Order ◽

Argument Structure ◽

Contextual Factors ◽

Generative Syntax ◽

Embedded Clause ◽

Open Question ◽

Syntactic Theories

Tunnekausatiivilauseet luokitellaan usein omaksi lausetyypikseen, johon kuuluu tunnetta tai tuntemusta ilmaiseva verbi (tunnekausatiivi), partitiivisijainen kokija ja nominatiivimuotoinen aiheuttaja. Tunnekausatiivilauseen aiheuttaja- ja kokija-argumenttien asemaa syntaktisessa rakenteessa on pidetty avoimena kysymyksenä ja rakenteen on arvioitu jopa olevan muutoksessa. Tässä artikkelissa käydään generatiivisen kieliopin kehyksessä läpi argumentti-rakenteeseen liittyviä kieliopillisia testejä, jotka koskevat esimerkiksi kongruenssia, anaforien sidontaa ja sanajärjestystä. Testien perusteella voidaan havaita, että kun tunnekausatiivilauseen aiheuttaja on NP, se sijaitsee tyypillisesti argumenttirakenteessa ylempänä kuin partitiivimuotoinen kokija. Tätä tulosta verrataan Suomi24-korpusaineistosta tehtyihin havaintoihin, joiden perusteella kokija esiintyy useammin verbin edellä kuin aiheuttaja. Tunnekausatiivilauseen sanajärjestyksen vaihtelun katsotaan olevan sidoksissa puhetilanteeseen ja argumenttien ominaisuuksiin. Tämä artikkeli on osa kahden artikkelin sarjaa. Sarjan toisessa osassa tarkastellaan lausemaisten aiheuttajien asemaa tunnekausatiivilauseen argumenttirakenteessa. The argument structure of the Finnish experiencer construction I: An NP causer This article investigates the Finnish experiencer construction, which involves a psychological predicate and two optional arguments: the nominative causer and the partitive experiencer. The argument structure of the Finnish experiencer construction has remained an open question in syntactic theories. In this paper, several grammatical tests concerning congruence, binding and word order are applied in the framework of generative syntax. They suggest that when the nominative causer is an NP, it typically occupies a higher position in the argument structure than the partitive experiencer. This result is evaluated against data from the Suomi24 corpus, which reveals that the partitive experiencer occurs preverbally more frequently than the nominative causer. The article asserts that the word order of the Finnish experiencer construction reflects contextual factors and discourse features of the arguments. This article is the first in a series of two. The second article investigates experiencer constructions with an embedded clause as a causer argument.

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